Design and Analysis, Fourth Edition, by Keppel Chapter 14: The General Linear Model and Unbalanced Designs | SPSS Textbook Examples

Data from Table 14.2, page 299.

data list list / a b scores.
begin data.
1 1 16
1 1 12
1 1 9
1 1 14
1 1 17
2 1 21
2 1 20
2 1 19
2 1 15
2 1 17
2 1 22
3 1 8
3 1 18
3 1 12
1 2 9
1 2 6
1 2 15
1 2 11
1 2 12
1 2 8
1 2 14
2 2 22
2 2 19
2 2 24
2 2 25
2 2 19
2 2 19
2 2 14
2 2 26
2 2 21
3 2 8
3 2 10
3 2 14
3 2 7
3 2 5
3 2 11
3 2 8
end data.

Evaluating the simple effect of Factor A across the levels of B , bottom of page 307

glm scores by a b
 /emmeans= table(a*b) compare(a).

Estimated Marginal Means

a * b

Main effect contrasts in a two-factor design, page 308-309

NOTE: The rationale for doing a main effect contrast (without consideration of the other factor) is that the interaction between the two factors is insignificant

glm scores by a b
 /lmatrix = 'a1 vs a3 ' a 1 
                          0
                         -1
                          a*b  .5  .5
                                0   0 
                              -.5 -.5
 /lmatrix = 'a2 vs (a1 and a3) ' a  -1
                                     2 
                                    -1
                           a*b -.5 -.5
                                 1   1
                               -.5 -.5. 

Custom Hypothesis Tests #1

Custom Hypothesis Tests #2